class_docstr: A dataset of images with data augmentation.
  
  .. note ::
      requires `torchvision` to be installed.
code: def __len__(self) -> int:  # noqa:D105
      return len(self.images)
  
imports: import functools
  import pathlib
  from typing import Any, Callable, Optional, Sequence, Union
  import torch
  import torch.nn
  import torch.utils.data
  from class_resolver import OptionalKwargs
  from docdata import parse_docdata
  from .representation import BackfillRepresentation, Representation
  from .utils import ShapeError, WikidataCache
  from ..datasets import Dataset
  from ..triples import TriplesFactory
  from ..typing import OneOrSequence
label_desc: Use image node_id 3 for calling the VisionDataset obj's underlying member method code with example usage: obj.__len__() and returns: len